
Laboratory for Quantum Semiconductors and Photon-based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), Department of Electrical and Computer Engineering, Universite´ de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
Professor JJ Dubowski, Laboratory for Quantum Semiconductors and Photon-based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), Department of Electrical and Computer Engineering, Universite´ de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada Email: jan.j.dubowski@usherbrooke.ca
Published:2013-06,
Published Online:12 April 2013,
Received:04 June 2012,
Revised:23 December 2012,
Accepted:24 December 2012
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Lepage, D. et al. Real-time detection of influenza A virus using semiconductor nanophotonics. Light: Science & Applications, 2, e62 (2013).
Lepage, D. et al. Real-time detection of influenza A virus using semiconductor nanophotonics. Light: Science & Applications, 2, e62 (2013). DOI: 10.1038/lsa.2013.18.
Modern miniaturization and the digitalization of characterization instruments greatly facilitate the diffusion of technological advances in new fields and generate innovative applications. The concept of a portable
inexpensive and semi-automated biosensing platform
or lab-on-a-chip
is a vision shared by many researchers and venture industries. Under this scope
we present a semiconductor monolithic integration approach to conduct surface plasmon resonance studies. This technology is already commonly used for biochemical characterization in pharmaceutical industries
but we have reduced the technological platform to a few nanometers in scale on a semiconductor chip. We evaluate the signal quality of this nanophotonic device using hyperspectral-imaging technology
and we compare its performance with that of a standard prism-based commercial system. Two standard biochemical agents are employed for this characterization study: bovine serum albumin and inactivated influenza A virus. Time resolutions of data acquisition varying between 360 and 2.2 s are presented
yielding 2.7×10
−5
–1.5×10
−6
RIU resolutions
respectively.
GaAs/AlGaAs quantum well devicehyperspectral imaging technologyinfluenza A virusintegrated surface plasmon resonance biosensor
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